Literature DB >> 24692303

Clinical exposures during internal medicine acting internship: profiling student and team experiences.

Todd I Smith1, Charles M LoPresti.   

Abstract

BACKGROUND: The clinical learning model in medical education is driven by knowledge acquisition through direct patient-care experiences. Despite the emphasis on experiential learning, the ability of educators to quantify the clinical exposures of learners is limited.
OBJECTIVE: To utilize Veterans Affairs (VA) electronic medical record information through a data warehouse to quantify clinical exposures during an inpatient internal medicine rotation.
METHODS: We queried the VA clinical data warehouse for the patients encountered by each learner completing an acting internship rotation at the Cleveland VA Medical Center from July 2008 to November 2011. We then used discharge summary information to identify team exposures-patients seen by the learner's inpatient team who were not primarily assigned to the learner. Based on the learner and team exposures, we complied lists of past medical problems, medications prescribed, laboratory tests that resulted, radiology evaluated, and primary discharge diagnoses.
RESULTS: Primary learner and team-based clinical exposures were evaluated for a total of 128 acting internship students. The percentage of learners who had a primary exposure to a medication/lab value/imaging result/diagnosis was calculated. The percentage of learners with at least 1 primary or team-based exposure to an item was also calculated. The most common exposures in each category are presented.
CONCLUSIONS: Analysis of the clinical exposures during an inpatient rotation can augment the ability of educators to understand learners' experiences. These types of analyses could provide information to improve learner experience, implement novel curricula, and address educational gaps in clinical rotations.
© 2014 Society of Hospital Medicine.

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Year:  2014        PMID: 24692303     DOI: 10.1002/jhm.2191

Source DB:  PubMed          Journal:  J Hosp Med        ISSN: 1553-5592            Impact factor:   2.960


  1 in total

1.  Attributing Patients to Pediatric Residents Using Electronic Health Record Features Augmented with Audit Logs.

Authors:  Mark V Mai; Evan W Orenstein; John D Manning; Anthony A Luberti; Adam C Dziorny
Journal:  Appl Clin Inform       Date:  2020-06-24       Impact factor: 2.342

  1 in total

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